DVS Edition Citation

Bicer, M, Phillips, A. T. M., Melis, A, McGregor, A. H. & Modenese, L. (2022). Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets. Journal of Biomechanics, 144 , 111301. Zugriff am 06.02.2023 unter https://doi.org/10.1016/j.jbiomech.2022.111301

APA (7th ed.) Citation

Bicer, M., Phillips, A. T. M., Melis, A., McGregor, A. H., & Modenese, L. (2022). Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets. Journal of Biomechanics, 144, 111301.

Chicago Style (17th ed.) Citation

Bicer, M., A. T. M. Phillips, A. Melis, A. H. McGregor, and L. Modenese. "Generative Deep Learning Applied to Biomechanics: A New Augmentation Technique for Motion Capture Datasets." Journal of Biomechanics 144 (2022): 111301.

MLA (9th ed.) Citation

Bicer, M., et al. "Generative Deep Learning Applied to Biomechanics: A New Augmentation Technique for Motion Capture Datasets." Journal of Biomechanics, vol. 144, 2022, p. 111301.